tf.keras.layers.UpSampling1D
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Upsampling layer for 1D inputs.
Inherits From: Layer, Module
tf.keras.layers.UpSampling1D(
size=2, **kwargs
)
Repeats each temporal step size times along the time axis.
Examples:
input_shape = (2, 2, 3)
x = np.arange(np.prod(input_shape)).reshape(input_shape)
print(x)
[[[ 0 1 2]
[ 3 4 5]]
[[ 6 7 8]
[ 9 10 11]]]
y = tf.keras.layers.UpSampling1D(size=2)(x)
print(y)
tf.Tensor(
[[[ 0 1 2]
[ 0 1 2]
[ 3 4 5]
[ 3 4 5]]
[[ 6 7 8]
[ 6 7 8]
[ 9 10 11]
[ 9 10 11]]], shape=(2, 4, 3), dtype=int64)
Args |
|---|
size
|
Integer. Upsampling factor.
|
|
|---|
3D tensor with shape: (batch_size, steps, features).
|
Output shape |
|---|
3D tensor with shape: (batch_size, upsampled_steps, features).
|
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Last updated 2024-01-23 UTC.
[null,null,["Last updated 2024-01-23 UTC."],[],[],null,["# tf.keras.layers.UpSampling1D\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.15.0/keras/layers/reshaping/up_sampling1d.py#L28-L84) |\n\nUpsampling layer for 1D inputs.\n\nInherits From: [`Layer`](../../../tf/keras/layers/Layer), [`Module`](../../../tf/Module) \n\n tf.keras.layers.UpSampling1D(\n size=2, **kwargs\n )\n\nRepeats each temporal step `size` times along the time axis.\n\n#### Examples:\n\n input_shape = (2, 2, 3)\n x = np.arange(np.prod(input_shape)).reshape(input_shape)\n print(x)\n [[[ 0 1 2]\n [ 3 4 5]]\n [[ 6 7 8]\n [ 9 10 11]]]\n y = tf.keras.layers.UpSampling1D(size=2)(x)\n print(y)\n tf.Tensor(\n [[[ 0 1 2]\n [ 0 1 2]\n [ 3 4 5]\n [ 3 4 5]]\n [[ 6 7 8]\n [ 6 7 8]\n [ 9 10 11]\n [ 9 10 11]]], shape=(2, 4, 3), dtype=int64)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|-----------------------------|\n| `size` | Integer. Upsampling factor. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Input shape ----------- ||\n|---|---|\n| 3D tensor with shape: `(batch_size, steps, features)`. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Output shape ------------ ||\n|---|---|\n| 3D tensor with shape: `(batch_size, upsampled_steps, features)`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub